Brain short T2 component imaging using double adiabatic inversion recovery prepared ultrashort Echo time (DIR-UTE) sequence
Short T<sub>2</sub> components in the brain are uniquely associated with myelin structure, but direct MR imaging is challenging due to their relatively short T<sub>2</sub> values and low proton density compared to long T<sub>2</sub> water. This study introduces a novel 3D double adiabatic inversion recovery-prepared ultrashort echo time (DIR-UTE) sequence for selective whole-brain imaging of short T<sub>2</sub> components. The sequence employs two identical adiabatic inversion pulses with optimized inversion times (TIs) to suppress long T<sub>2</sub> signals, followed by a 3D UTE acquisition to capture rapidly decaying signals. Technical feasibility was evaluated using phantoms, six healthy volunteers, and five patients with multiple sclerosis (MS) on a 3T MRI scanner. Short T<sub>2</sub> proton fraction (SPF) was measured in white matter, gray matter, MS lesions, and across the whole brain to assess differences in myelin content. Phantom studies confirmed effective suppression of long T<sub>2</sub> signals over a wide range of T<sub>1</sub> values. In healthy volunteers, DIR-UTE selectively captured short T<sub>2</sub> signals, with an estimated T<sub>2</sub>* of 0.21±0.01 ms in white matter. SPF in normal white matter (5.12±0.57 %) was significantly higher than in normal-appearing white matter (4.06±0.61 %, P < 0.0001) and MS lesions (2.76±0.78 %, P < 0.0001). Similar trends were observed in gray matter. Whole-brain analysis also showed lower average SPF in MS patients (3.42±0.38 %) compared to healthy controls (4.01±0.35 %, P < 0.0001). These results demonstrate the DIR-UTE sequence's ability to suppress long T<sub>2</sub> signals and selectively image short T<sub>2</sub> components, with SPF emerging as a potential biomarker for demyelinating diseases like MS.
Authors
- Yajun Ma (ORCID: https://orcid.org/0000-0003-0830-9232)
- Mahyar Daskareh (ORCID: https://orcid.org/0000-0001-5601-6392)
- Jiaji Wang (ORCID: https://orcid.org/0000-0002-6934-6099)
- Soo Hyun Shin (ORCID: https://orcid.org/0000-0003-1875-2908)
- Jiyo Athertya (ORCID: https://orcid.org/0000-0002-0866-1052)
- James Lo (ORCID: https://orcid.org/0000-0002-7351-0752)
Institutions
- University of California System (US)
- University of California San Diego (US)
Publication Details
- Journal
- NeuroImage
- Published
- 2025-06-06
- DOI
- https://doi.org/10.1016/j.neuroimage.2025.121315
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health